Face Recognition Voting System

This project is a Face Recognition Voting System built with FastAPI, SQLAlchemy, OpenCV, and face_recognition. It allows secure and seamless voting using facial recognition technology. The project also integrates with Google Sheets for counting votes.

Features

1. Voter Registration

• Voter ID, username, and password registration.
• Face capture using a webcam and saved as a reference for future recognition.
• The system ensures each voter ID is unique and valid.

2. Login with Face Recognition

• Authenticate voters using their face.
• Voters must enter their Voter ID, password, and pass facial recognition to access the voting dashboard.

3. Voting

• Voters can cast their votes once, and the system updates the voter's status after voting.
• Tracks which party a voter has voted for.

4. Vote Counting

• Admin can view the total vote count for each party.
• Vote counts are updated in Google Sheets for transparency and easy access.

5. Admin Panel

• Admin login with credentials.
• Admin dashboard for managing voters and viewing vote counts.
• Admin can search, update, or delete voter details.

Technology Stack

• FastAPI: Backend framework for building APIs.
• SQLAlchemy: ORM for handling database operations.
• OpenCV: For capturing images and performing face recognition.
• face_recognition: Library for comparing facial encodings.
• Google Sheets API: To store and display vote counts in real-time.

Prerequisites

To run this project, you will need:

• Python 3.8+
• FastAPI
• SQLAlchemy
• OpenCV
• face_recognition
• Passlib (for password hashing)
• dotenv (for environment variables)
• gspread & oauth2client (for Google Sheets integration)

Setup Instructions

1. Clone the Repository:

   git clone https://github.com/yourusername/face-recognition-voting-system.git
   cd face-recognition-voting-system

2. Install Required Packages::

   pip install -r requirements.txt

3. Set Up Environment Variables:

   ADMIN_USERNAME=your_admin_username
   ADMIN_PASSWORD=your_admin_password

4. Set Up Database:: Make sure you have the database configured. Adjust the database settings in the database.py file to match your setup.

5. Google Sheets Integration::

• Enable the Google Sheets API and create credentials.
• Save your credentials as credential.json in the root directory.

6. Run the Application::

   uvicorn main:app --reload